Clickstream Analytics on AWS

Streamline your data analysis by visualizing clickstream workflows with the Clickstream Analytics on AWS example.

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about this example

Clickstream data analysis is essential for understanding user behavior on web platforms. This example encapsulates an AWS-based analytics pipeline:

Secure User Authentication: Utilizes Amazon Cognito with OpenID Connect for robust user authentication.
Serverless Backend Execution: Showcases AWS Lambda for executing backend logic in response to API calls.
Pipeline Orchestration: Details the orchestration of services using AWS Step Functions and AWS CloudFormation for workflow execution.
Data Analysis and Visualization: Illustrates the flow from data ingestion in Amazon S3 to analysis in Amazon Redshift and visualization in Amazon QuickSight.

When to use

Real-time Analytics: When building systems to process and analyze data in real-time from user interactions on your platforms.
User Behavior Insights: When aiming to gain deep insights into user behavior to drive product improvements and targeted marketing.
Scalable Backend Systems: When designing scalable and maintainable backend systems for large-scale data processing.

How to use

Start editing: Duplicate the example file and double-click on the diagram to initiate customization.
Customize diagram: Add or modify nodes, groups, and relationships to reflect your specific clickstream data workflow requirements.
Customize layout: Drag elements on the diagram directly on the canvas to achieve an intuitive layout.
Collect feedback: Share the diagram with peers and stakeholders, using their comments to refine and enhance the design.

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